Bioinspired Liquid Crystalline Spinning Enables Scalable Fabrication of High‐Performing Fibrous Artificial Muscles

材料科学 制作 超细纤维 纺纱 纳米技术 智能材料 人工肌肉 软机器人 弹性体 微电子机械系统 复合材料 机械工程 执行机构 计算机科学 人工智能 医学 替代医学 病理 工程类
作者
Wenhao Hou,Jiao Wang,Jiu‐an Lv
出处
期刊:Advanced Materials [Wiley]
卷期号:35 (16): e2211800-e2211800 被引量:165
标识
DOI:10.1002/adma.202211800
摘要

Leveraging liquid crystal elastomers (LCEs) to realize scalable fabrication of high-performing fibrous artificial muscles is of particular interest because these active soft materials can provide large, reversible, programmable deformations upon environmental stimuli. High-performing fibrous LCEs require the used processing technology to enable shaping LCEs into micro-scale fine fibers as thin as possible while achieving macroscopic LC orientation, which however remains a daunting challenge. Here, a bioinspired spinning technology is reported that allows for continuous, high-speed production (fabrication speed up to 8400 m h-1 ) of thin and aligned LCE microfibers combined with rapid deformation (actuation strain rate up to 810% s-1 ), powerful actuation (actuation stress up to 5.3 MPa), high response frequency (50 Hz), and long cycle life (250 000 cycles without obvious fatigue). Inspired by liquid crystalline spinning of spiders that takes advantage of multiple drawdowns to thin and align their dragline silks, internal drawdown via tapered-wall-induced-shearing and external drawdown via mechanical stretching are employed to shape LCEs into long, thin, aligned microfibers with the desirable actuation performances, which few processing technologies can achieve. This bioinspired processing technology capable of scalable production of high-performing fibrous LCEs would benefit the development of smart fabrics, intelligent wearable devices, humanoid robotics, and other areas.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
FashionBoy应助科研通管家采纳,获得10
刚刚
所所应助科研通管家采纳,获得30
刚刚
NexusExplorer应助科研通管家采纳,获得10
刚刚
刚刚
无花果应助科研通管家采纳,获得10
刚刚
Hello应助科研通管家采纳,获得10
刚刚
科目三应助科研通管家采纳,获得10
刚刚
HelloFM发布了新的文献求助30
刚刚
ding应助科研通管家采纳,获得10
刚刚
烟花应助科研通管家采纳,获得10
刚刚
领导范儿应助科研通管家采纳,获得10
刚刚
mochou发布了新的文献求助10
刚刚
彭于晏应助科研通管家采纳,获得10
刚刚
无花果应助1111采纳,获得30
1秒前
如意士萧完成签到,获得积分10
1秒前
zhonglv7应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
小小应助桑尼采纳,获得10
1秒前
1秒前
1秒前
ll完成签到,获得积分10
1秒前
1秒前
懦弱的丹秋完成签到,获得积分10
1秒前
1秒前
1秒前
1秒前
FashionBoy应助科研通管家采纳,获得10
1秒前
1秒前
今后应助科研通管家采纳,获得30
1秒前
天天快乐应助科研通管家采纳,获得10
1秒前
深情安青应助科研通管家采纳,获得10
1秒前
锦李发布了新的文献求助10
1秒前
隐形曼青应助科研通管家采纳,获得10
1秒前
小二郎应助raner采纳,获得30
2秒前
小学生完成签到,获得积分10
2秒前
小跳a发布了新的文献求助10
2秒前
2秒前
COA-ACP完成签到,获得积分10
2秒前
研友_Z7mKyL完成签到,获得积分10
2秒前
高分求助中
Inorganic Chemistry Eighth Edition 1200
Standards for Molecular Testing for Red Cell, Platelet, and Neutrophil Antigens, 7th edition 1000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
The Psychological Quest for Meaning 800
Signals, Systems, and Signal Processing 610
脑电大模型与情感脑机接口研究--郑伟龙 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6303292
求助须知:如何正确求助?哪些是违规求助? 8120067
关于积分的说明 17004906
捐赠科研通 5363242
什么是DOI,文献DOI怎么找? 2848480
邀请新用户注册赠送积分活动 1825953
关于科研通互助平台的介绍 1679783